Delay-aware Fountain Codes for Video Streaming with Optimal Sampling Strategy
Kairan Sun, Huazi Zhang, Dapeng Wu

TL;DR
This paper introduces delay-aware fountain coding techniques that adaptively optimize video streaming over wireless networks, significantly improving quality and reducing delay by exploiting video bit rate fluctuations.
Contribution
The paper presents novel delay-aware fountain coding methods with adaptive windowing and sampling strategies that enhance wireless video streaming performance.
Findings
Decoding ratio improved by 15% to 100% over existing methods.
Proposed schemes achieve higher video quality with low delay.
Validated through implementation on standard video streams over 802.11b.
Abstract
The explosive demand of on-line video from smart mobile devices poses unprecedented challenges to delivering high quality of experience (QoE) over wireless networks. Streaming high-definition video with low delay is difficult mainly due to (i) the stochastic nature of wireless channels and (ii) the fluctuating videos bit rate. To address this, we propose a novel delay-aware fountain coding (DAF) technique that integrates channel coding and video coding. In this paper, we reveal that the fluctuation of video bit rate can also be exploited to further improve fountain codes for wireless video streaming. Specifically, we develop two coding techniques: the time-based sliding window and the optimal window-wise sampling strategy. By adaptively selecting the window length and optimally adjusting the sampling pattern according to the ongoing video bit rate, the proposed schemes deliver…
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Taxonomy
TopicsError Correcting Code Techniques · Cooperative Communication and Network Coding · Video Coding and Compression Technologies
